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DOI Prefix 10.20431 |
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Sensitivity Analysis of Runoff Model by SWAT to Meteorological Parameters: A Case Study of Kasillian Watershed, Mazandaran,Iran
Mohsen Ghane1,Sayed Reza Alvankar2,Saeid Eslamian3,Mahboubeh Amoushahi-Khouzani4,Amir Gandomkar,Elahe Zamani5,Maryam Marani-Barzani6,Masoud Kazemi7,Morteza Soltani8,Shahide Dehghan9,Vijay P.Singh10,Kaveh Ostad-Ali-Askari11,Majedeh Haeri-Hamedani12,Hamid-Reza Shirvani-Dastgerdi13,Nasrin Zalaki-Badil14,Zahra Majidifar15,Nicolas R.Dalezios16,Bahareh Soltani17
2.Department of Water Engineering, Isfahan University of Technology, Isfahan, Iran.
3.Water Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4.Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
5.Department of Physiologyand plant improvement,Ardakan University, Ardakan, Yazd, Iran.
6.Department of Geography, University of Malaya (UM) ,50603 Kuala Lumpur, Malaysia.
7.Civil Engineering Department, Najafabad Branch,Islamic Azad University,Najafabad Iran.
8.Department of Artichetctural Engineering, Shahinshahr Branch, Islamic Azad University, Shahinshahr,Isfahan, Iran.
9.Department of Biological and Agricultural Engineering &Zachry Department of Civil Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, Texas 77843-2117, U.S.A.
10.Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
11.Department of Soil Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
12.Department of Agronomy and Plant Breeding, Lorestan University, Lorestan, Iran.
13.Laboratory of Hydrology, Department of Civil Engineering, University of Thessaly, Volos, Greece & Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, Athens, Greece.
Citation :Sensitivity Analysis of Runoff Model by SWAT to Meteorological Parameters: A Case Study of Kasillian Watershed, Mazandaran,Iran 2017,3(10) : 17-36
To design and construct mosthydraulic structures, e.g. dams, it is essential to determine watershed runoff. If a watershed lacks any gaging station, thenhydrologic models can be utilized to estimate runoff. The Soil Water Assessment Tool (SWAT) is one of the most widelyusedcomputerwatershed models. In this model, we need to input meteorological data, such as precipitation, temperature, wind speed, solar radiation, and relative humidity;as well as watershed data, including curvenumberandroughness coefficient, to calculate the watershed runoff. Some watershedshave weather stations, but there is a risk that the recordeddataof a station do not represent the whole watershed and the use of such data may cause error. Consequently, the error of estimated runoff error needs to be determined. This study deals with the sensitivity of runoff estimatedusing the SWAT model to the variations in meteorological parameters, such as precipitation, solar radiation, wind, humidity, and temperature. Results indicate that with a 30% decrease in the average monthly precipitation, sunshine, relative humidity, wind and temperature, we witness,respectively,a 64.27% decrease, 114.67% increase, 45.93% decrease, 126.12% increase, and 39.21% increase in the estimated runoff. Runoff estimation is found to be most sensitive to wind speed and solar radiation,and least sensitive to temperature.